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» Active Region Models for Segmenting Medical Images
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ICCV
1999
IEEE
16 years 8 months ago
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery
In this paper, we describe a new region-based approach to active contours for segmenting images composed of two or three types of regions characterizable by a given statistic. The...
Anthony J. Yezzi, Andy Tsai, Alan S. Willsky
173
Voted
MICCAI
2007
Springer
16 years 7 months ago
Characterizing Spatio-temporal Patterns for Disease Discrimination in Cardiac Echo Videos
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
CVPR
2006
IEEE
16 years 8 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
MICCAI
2004
Springer
16 years 7 months ago
Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences
In this paper we develop a spatio-temporal registration algorithm for cardiac MR image sequences. The algorithm has the ability to correct any spatial misalignment between the imag...
Dimitrios Perperidis, Raad Mohiaddin, Daniel Rueck...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
15 years 4 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang